Key result
Low-cost IoT-based remote cardiovascular monitoring demonstrates high accuracy and usability in early testing.
Why the study?
Cameroonians with cardiovascular diseases face poor health services and high costs of healthcare technologies, motivating local development of accessible monitoring systems.
A low-cost IoT-based remote cardiovascular monitoring system can accurately and easily track vital signs in resource-limited settings like Cameroon.
Low-cost wireless RPM prototype feasible in Cameroon; leaves open clinical efficacy, scalability, and outcome impact in low-resource settings.
(1) Background: Cameroonians are exposed to poor health services, more so citizens with cardiovascular-related diseases. The global high cost of acquiring healthcare-related technologies has prompted the government and individuals to promote the need for local research and the development of the health system. (2) Objectives: The main goal of this study is to design and develop a low-cost cardiovascular patient monitoring system (RPM) with wireless capabilities that could be used in any region of Cameroon, accessible, and very inexpensive, that are able to capture important factors, well reflecting the patient's condition and provide alerting mechanisms. (3) Method: Using the lean UX process from the Gothelf and Seiden framework, the implemented IoT-based application measures the patients' systolic, diastolic, and heart rates using various sensors, that are automated to record directly to the application database for analysis. The validity of the heuristic evaluation was examined in an ethnographic study of paramedics using a prototype of the system in their work environment. (4) Results: We obtained a system that was pre-tested on demo patients and later deployed and tested on seven real human test subjects. The users' task performances partially verified the heuristic evaluation results. (5) Conclusions: The data acquired by the sensors have a high level of accuracy and effectively help specialists to properly monitor their patients at a low cost. The proposed system maintains a user-friendliness as no expertise is required for its effective utilization.
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Armand et al. (2023) studied Cardiovascular disease (n=7). Low-cost IoT-based remote cardiovascular patient monitoring system was evaluated on System usability and task performance. A low-cost IoT-based remote cardiovascular patient monitoring system was successfully developed and tested on seven human subjects, demonstrating high accuracy and user-friendliness.
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